Download or read book A Comprehensive Look at the Empirical Performance of Equity Premium Prediction II written by Amit Goyal and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Comprehensive Look at the Empirical Performance of Equity Premium Prediction written by Ivo Welch and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Our article comprehensively reexamines the performance of variables that have been suggested by the academic literature to be good predictors of the equity premium. We find that by and large, these models have predicted poorly both in-sample (IS) and out-of-sample (OOS) for 30 years now; these models seem unstable, as diagnosed by their out-of-sample predictions and other statistics; and these models would not have helped an investor with access only to available information to profitably time the market.
Download or read book A Comprehensive Look at the Empirical Performance of Equity Premium Prediction written by Amit Goval and published by . This book was released on 2004 with total page 51 pages. Available in PDF, EPUB and Kindle. Book excerpt: Given the historically high equity premium, is it now a good time to invest in the stock market? Economists have suggested a whole range of variables that investors could or should use to predict: dividend price ratios, dividend yields, earnings-price ratios, dividend payout ratios, net issuing ratios, book-market ratios, interest rates (in various guises), and consumption-based macroeconomic ratios (cay). The typical paper reports that the variable predicted well in an *in-sample* regression, implying forecasting ability. Our paper explores the *out-of-sample* performance of these variables, and finds that not a single one would have helped a real-world investor outpredicting the then-prevailing historical equity premium mean. Most would have outright hurt. Therefore, we find that, for all practical purposes, the equity premium has not been predictable, and any belief about whether the stock market is now too high or too low has to be based on theoretical prior, not on the empirically variables we have explored.
Download or read book A Comprehensive Look at the Empirical Performance of Equity Premium Prediction written by Amit Goyal and published by . This book was released on 2006 with total page 59 pages. Available in PDF, EPUB and Kindle. Book excerpt: Economists have suggested a whole range of variables that predict the equity premium: dividend price ratios, dividend yields, earnings-price ratios, dividend payout ratios, corporate or net issuing ratios, book-market ratios, beta premia, interest rates (in various guises), and consumption-based macroeconomic ratios (cay). Our paper comprehensively reexamines the performance of these variables, both in-sample and out-of-sample, as of 2005. We find that [a] over the last 30 years, the prediction models have failed both in-sample and out-of-sample; [b] the models are unstable, in that their out-of-sample predictions have performed unexpectedly poorly; [c] the models would not have helped an investor with access only to information available at the time to time the market.
Download or read book Empirical Asset Pricing written by Wayne Ferson and published by MIT Press. This book was released on 2019-03-12 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.
Download or read book Financial Markets and the Real Economy written by John H. Cochrane and published by Now Publishers Inc. This book was released on 2005 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial Markets and the Real Economy reviews the current academic literature on the macroeconomics of finance.
Download or read book Completing the Market Generating Shadow CDS Spreads by Machine Learning written by Nan Hu and published by International Monetary Fund. This book was released on 2019-12-27 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: We compared the predictive performance of a series of machine learning and traditional methods for monthly CDS spreads, using firms’ accounting-based, market-based and macroeconomics variables for a time period of 2006 to 2016. We find that ensemble machine learning methods (Bagging, Gradient Boosting and Random Forest) strongly outperform other estimators, and Bagging particularly stands out in terms of accuracy. Traditional credit risk models using OLS techniques have the lowest out-of-sample prediction accuracy. The results suggest that the non-linear machine learning methods, especially the ensemble methods, add considerable value to existent credit risk prediction accuracy and enable CDS shadow pricing for companies missing those securities.
Download or read book The Equity Premium Puzzle Intrinsic Growth Monetary Policy An Unexpected Solution Theory Strategy for the Coming Jobless Age written by Robert Shuler and published by Lulu.com. This book was released on 2013-11-25 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows we must adjust money supply to account for productivity if deflation is to be avoided. The central banker is not profit oriented and can create money at will, not subject to rational investor constraints. Businesses leverage low interest rates enforced by the central bank to grow and increase employment, compensating for the reduced labor necessary for the former level of goods and services. This leveraged difference in returns is the equity premium. Even a one time productivity increase requires a corresponding permanent increase not in the money supply itself, but in the "rate of increase" of the money supply. Given the steady growth in productivity of the last 100 years, the world economy is now grossly under-stimulated and in danger of precipitous deflation. Both academic models and arguments based on historical events are presented, along with analysis of the meaning of money, investor behavior, and practical techniques for obtaining the equity premium in one's portfolio.
Download or read book Complex Systems in Finance and Econometrics written by Robert A. Meyers and published by Springer Science & Business Media. This book was released on 2010-11-03 with total page 919 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finance, Econometrics and System Dynamics presents an overview of the concepts and tools for analyzing complex systems in a wide range of fields. The text integrates complexity with deterministic equations and concepts from real world examples, and appeals to a broad audience.
Download or read book Investing Amid Low Expected Returns written by Antti Ilmanen and published by John Wiley & Sons. This book was released on 2022-04-12 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elevate your game in the face of challenging market conditions with this eye-opening guide to portfolio management Investing Amid Low Expected Returns: Making the Most When Markets Offer the Least provides an evidence-based blueprint for successful investing when decades of market tailwinds are turning into headwinds. For a generation, falling yields and soaring asset prices have boosted realized returns. However, this past windfall leaves retirement savers and investors now facing the prospect of record-low future expected returns. Emphasizing this pressing challenge, the book highlights the role that timeless investment practices – discipline, humility, and patience – will play in enabling investment success. It then assesses current investor practices and the body of empirical evidence to illuminate the building blocks for improving long-run returns in today’s environment and beyond. It concludes by reviewing how to put them together through effective portfolio construction, risk management, and cost control practices. In this book, readers will also find: The common investor responses so far to the low expected return challenge Extensive empirical evidence on the critical ingredients of an effective portfolio: major asset class premia, illiquidity premia, style premia, and alpha Discussions of the pros and cons of illiquid investments, factor investing, ESG investing, risk mitigation strategies, and market timing Coverage of the whole top-down investment process – throughout the book endorsing humility in tactical forecasting and boldness in diversification Ideal for institutional and active individual investors, Investing Amid Low Expected Returns is a timeless resource that enables investing with serenity even in harsher financial conditions.
Download or read book Advances in Economic Forecasting written by Matthew L. Higgins and published by W.E. Upjohn Institute. This book was released on 2011 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book's contributors assess the performance of economic forecasting methods, argue that data can be better exploited through model and forecast combination, and advocate for models that are adaptive and perform well in the presence of nonlinearity and structural change.
Download or read book Irrational Exuberance written by Robert J. Shiller and published by Princeton University Press. This book was released on 2015-01-25 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why the irrational exuberance of investors hasn't disappeared since the financial crisis In this revised, updated, and expanded edition of his New York Times bestseller, Nobel Prize–winning economist Robert Shiller, who warned of both the tech and housing bubbles, cautions that signs of irrational exuberance among investors have only increased since the 2008–9 financial crisis. With high stock and bond prices and the rising cost of housing, the post-subprime boom may well turn out to be another illustration of Shiller's influential argument that psychologically driven volatility is an inherent characteristic of all asset markets. In other words, Irrational Exuberance is as relevant as ever. Previous editions covered the stock and housing markets—and famously predicted their crashes. This edition expands its coverage to include the bond market, so that the book now addresses all of the major investment markets. It also includes updated data throughout, as well as Shiller's 2013 Nobel Prize lecture, which places the book in broader context. In addition to diagnosing the causes of asset bubbles, Irrational Exuberance recommends urgent policy changes to lessen their likelihood and severity—and suggests ways that individuals can decrease their risk before the next bubble bursts. No one whose future depends on a retirement account, a house, or other investments can afford not to read this book.
Download or read book Financial Markets Theory written by Emilio Barucci and published by Springer. This book was released on 2017-06-08 with total page 843 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work, now in a thoroughly revised second edition, presents the economic foundations of financial markets theory from a mathematically rigorous standpoint and offers a self-contained critical discussion based on empirical results. It is the only textbook on the subject to include more than two hundred exercises, with detailed solutions to selected exercises. Financial Markets Theory covers classical asset pricing theory in great detail, including utility theory, equilibrium theory, portfolio selection, mean-variance portfolio theory, CAPM, CCAPM, APT, and the Modigliani-Miller theorem. Starting from an analysis of the empirical evidence on the theory, the authors provide a discussion of the relevant literature, pointing out the main advances in classical asset pricing theory and the new approaches designed to address asset pricing puzzles and open problems (e.g., behavioral finance). Later chapters in the book contain more advanced material, including on the role of information in financial markets, non-classical preferences, noise traders and market microstructure. This textbook is aimed at graduate students in mathematical finance and financial economics, but also serves as a useful reference for practitioners working in insurance, banking, investment funds and financial consultancy. Introducing necessary tools from microeconomic theory, this book is highly accessible and completely self-contained. Advance praise for the second edition: "Financial Markets Theory is comprehensive, rigorous, and yet highly accessible. With their second edition, Barucci and Fontana have set an even higher standard!"Darrell Duffie, Dean Witter Distinguished Professor of Finance, Graduate School of Business, Stanford University "This comprehensive book is a great self-contained source for studying most major theoretical aspects of financial economics. What makes the book particularly useful is that it provides a lot of intuition, detailed discussions of empirical implications, a very thorough survey of the related literature, and many completely solved exercises. The second edition covers more ground and provides many more proofs, and it will be a handy addition to the library of every student or researcher in the field."Jaksa Cvitanic, Richard N. Merkin Professor of Mathematical Finance, Caltech "The second edition of Financial Markets Theory by Barucci and Fontana is a superb achievement that knits together all aspects of modern finance theory, including financial markets microstructure, in a consistent and self-contained framework. Many exercises, together with their detailed solutions, make this book indispensable for serious students in finance."Michel Crouhy, Head of Research and Development, NATIXIS
Download or read book Cost of Capital written by Shannon P. Pratt and published by John Wiley & Sons. This book was released on 2008-02-25 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this long-awaited Third Edition of Cost of Capital: Applications and Examples, renowned valuation experts and authors Shannon Pratt and Roger Grabowski address the most controversial issues and problems in estimating the cost of capital. This authoritative book makes a timely and significant contribution to the business valuation body of knowledge and is an essential part of the expert's library.
Download or read book Nonparametric Finance written by Jussi Klemelä and published by John Wiley & Sons. This book was released on 2018-02-28 with total page 849 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Machine Learning in Finance, With Mathematical Background, Data Visualization, and R Nonparametric function estimation is an important part of machine learning, which is becoming increasingly important in quantitative finance. Nonparametric Finance provides graduate students and finance professionals with a foundation in nonparametric function estimation and the underlying mathematics. Combining practical applications, mathematically rigorous presentation, and statistical data analysis into a single volume, this book presents detailed instruction in discrete chapters that allow readers to dip in as needed without reading from beginning to end. Coverage includes statistical finance, risk management, portfolio management, and securities pricing to provide a practical knowledge base, and the introductory chapter introduces basic finance concepts for readers with a strictly mathematical background. Economic significance is emphasized over statistical significance throughout, and R code is provided to help readers reproduce the research, computations, and figures being discussed. Strong graphical content clarifies the methods and demonstrates essential visualization techniques, while deep mathematical and statistical insight backs up practical applications. Written for the leading edge of finance, Nonparametric Finance: • Introduces basic statistical finance concepts, including univariate and multivariate data analysis, time series analysis, and prediction • Provides risk management guidance through volatility prediction, quantiles, and value-at-risk • Examines portfolio theory, performance measurement, Markowitz portfolios, dynamic portfolio selection, and more • Discusses fundamental theorems of asset pricing, Black-Scholes pricing and hedging, quadratic pricing and hedging, option portfolios, interest rate derivatives, and other asset pricing principles • Provides supplementary R code and numerous graphics to reinforce complex content Nonparametric function estimation has received little attention in the context of risk management and option pricing, despite its useful applications and benefits. This book provides the essential background and practical knowledge needed to take full advantage of these little-used methods, and turn them into real-world advantage. Jussi Klemelä, PhD, is Adjunct Professor at the University of Oulu. His research interests include nonparametric function estimation, density estimation, and data visualization. He is the author of Smoothing of Multivariate Data: Density Estimation and Visualization and Multivariate Nonparametric Regression and Visualization: With R and Applications to Finance.
Download or read book Applied Quantitative Analysis for Real Estate written by Sotiris Tsolacos and published by Routledge. This book was released on 2020-09-13 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: To fully function in today’s global real estate industry, students and professionals increasingly need to understand how to implement essential and cutting-edge quantitative techniques. This book presents an easy-to-read guide to applying quantitative analysis in real estate aimed at non-cognate undergraduate and masters students, and meets the requirements of modern professional practice. Through case studies and examples illustrating applications using data sourced from dedicated real estate information providers and major firms in the industry, the book provides an introduction to the foundations underlying statistical data analysis, common data manipulations and understanding descriptive statistics, before gradually building up to more advanced quantitative analysis, modelling and forecasting of real estate markets. Our examples and case studies within the chapters have been specifically compiled for this book and explicitly designed to help the reader acquire a better understanding of the quantitative methods addressed in each chapter. Our objective is to equip readers with the skills needed to confidently carry out their own quantitative analysis and be able to interpret empirical results from academic work and practitioner studies in the field of real estate and in other asset classes. Both undergraduate and masters level students, as well as real estate analysts in the professions, will find this book to be essential reading.
Download or read book Nonlinear Modeling of Economic and Financial Time Series written by Fredj Jawadi and published by Emerald Group Publishing. This book was released on 2010-12-17 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents researches in linear and nonlinear modelling of economic and financial time-series. This book provides a comprehensive understanding of financial and economic dynamics in various aspects using modern financial econometric methods. It also presents and discusses research findings and their implications.
